• DocumentCode
    1942773
  • Title

    Using Cross-Language Information Retrieval Methods for Bilingual Search of the Web

  • Author

    Shim, Sung J.

  • Author_Institution
    Seton Hall Univ., South Orange, NJ
  • Volume
    2
  • fYear
    2005
  • fDate
    28-30 Nov. 2005
  • Firstpage
    19
  • Lastpage
    24
  • Abstract
    English content dominates the Web, while the number of Web users speaking other languages is increasing rapidly. This paper describes a system that uses various cross-language information retrieval methods to provide search engines with capability of automatic search in a local language as well as English even when the user makes search queries only in the local language. The system would be useful for Web users, expanding the international scope of the Web
  • Keywords
    Internet; information retrieval; language translation; natural languages; search engines; English language; Web search; bilingual search; cross-language information retrieval; search engine; Automation; Business; Computational intelligence; Computational modeling; Information retrieval; Intelligent agent; Internet; Natural languages; Neural networks; Search engines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    0-7695-2504-0
  • Type

    conf

  • DOI
    10.1109/CIMCA.2005.1631439
  • Filename
    1631439
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1942773